• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Journal of Applied Sciences
  2. Vol 9 (19), 2009
  3. 3491-3501
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Journal of Applied Sciences

Year: 2009 | Volume: 9 | Issue: 19 | Page No.: 3491-3501
DOI: 10.3923/jas.2009.3491.3501

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 532

Search


Authors


Z. Chik

Country: Malaysia

T. Islam

Country: Malaysia

M.M. Mustafa

Country: Malaysia

H. Sanusi

Country: Malaysia

S.A. Rosyidi

Country: Malaysia

M.R. Taha

Country: Malaysia

Keywords


  • phase velocity
  • wavelet transform
  • multichannel analysis
  • Spectral analysis
  • group velocity
Research Article

Surface Wave Analysis Using Morlet Wavelet in Geotechnical Investigations

Z. Chik, T. Islam, M.M. Mustafa, H. Sanusi, S.A. Rosyidi and M.R. Taha
This study addresses wavelet transform for multichannel surface wave method to overcome the limitations of conventional seismic signal analysis. Seismic surface wave method is familiar nondestructive seismic test to reveal the soil profile in geotechnical engineering. The spectral analysis surface wave method using two receivers is constraint due to interferences of other signals and various types of noises. To reduce these problems, the multichannel analysis of surface wave method is developed as more reliable surface wave technique with the performance of mode discrimination. But this method is tedious and slower for phase velocity extraction using Fourier transform. However, because of characteristic of fourier transform used in the conventional phase extraction method, dispersion curve is sensitive to background noise and body waves in the low frequency range. Furthermore, under some field conditions such as pavement site, the phase extraction method can lead to erroneous dispersion curve. To overcome these problems, a new method of determining the group velocities and phase velocities using time frequency analysis based on Complex Morlet wavelet transform is highlighted with the algorithm in this study. To estimate the applicability of the proposed method, the dispersion curve at soil layer profile is revealed and the dispersion curve by proposed method is more reliable than those by the usual phase extraction method. The significance of this study is to obtain a robust and consistent performance with noise reduction for surface wave analysis regarding multichannel and Morlet wavelet transform.
PDF Fulltext XML References Citation

How to cite this article

Z. Chik, T. Islam, M.M. Mustafa, H. Sanusi, S.A. Rosyidi and M.R. Taha, 2009. Surface Wave Analysis Using Morlet Wavelet in Geotechnical Investigations. Journal of Applied Sciences, 9: 3491-3501.

DOI: 10.3923/jas.2009.3491.3501

URL: https://scialert.net/abstract/?doi=jas.2009.3491.3501

Related Articles

Wavelet-based Pre-filtering for Low Cost Inertial Sensors
Broken Bars Detection in Squirrel Cage Induction Motors Using Wavelet Theory
Discovering Structure Breaks in Amman Stocks Market

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved